Multilingual large language model: A survey of resources, taxonomy and frontiers

L Qin, Q Chen, Y Zhou, Z Chen, Y Li, L Liao… - arXiv preprint arXiv …, 2024 - arxiv.org
Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …

RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization

D Pu, V Demberg - arXiv preprint arXiv:2405.00657, 2024 - arxiv.org
For long document summarization, discourse structure is important to discern the key
content of the text and the differences in importance level between sentences. Unfortunately …

Towards Knowledge-Grounded Natural Language Understanding and Generation

C Whitehouse - arXiv preprint arXiv:2403.15364, 2024 - arxiv.org
This thesis investigates how natural language understanding and generation with
transformer models can benefit from grounding the models with knowledge representations …